Article detail · 2021
The Use of Machine Learning Methods in Classification of Pumpkin Seeds (Cucurbita Pepo L.)
YÖKSİS
OpenAlex
SJR Q2
JCR Q3
Citations 56
Top 10%
Percentile 95.2%
FWCI 4.01
- Year
- 2021
- Type
- article
Data source split
- YÖKSİS YÖKSİS article record
- YÖKSİS venue Genetic Resources and Crop Evolution
- Catalog match (ISSN) Genetic Resources and Crop Evolution
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Topics
Citations
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56 citations
OpenAlex cited_by_count (cache / database)
33 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- Edible and Poisonous Mushrooms Classification by Machine Learning Algorithms 2022
- Binary classification of pumpkin (Cucurbita pepo L.) seeds based on quality features using machine learning algorithms 2024
- Performance of vision transformer and swin transformer models for lemon quality classification in fruit juice factories 2024
- Binary classification of pumpkin (Cucurbita pepo L.) seeds based on quality features using machine learning algorithms 2024
- Performance of vision transformer and swin transformer models for lemon quality classification in fruit juice factories 2024
- Performance of vision transformer and swin transformer models for lemon quality classification in fruit juice factories 2024
- Binary classification of pumpkin (Cucurbita pepo L.) seeds based on quality features using machine learning algorithms 2024
- Automated Classification of Biscuit Quality Using YOLOv8 Models in Food Industry 2025
- Automated Classification of Biscuit Quality Using YOLOv8 Models in Food Industry 2025
- A comparative evaluation of Bayes, functions, trees, meta, rules and lazy machine learning algorithms for the discrimination of different breeding lines and varieties of potato based on spectroscopic data 2022